Ian DiBernardo, left, and Brandi Howard, right, of Brown Rudnick. Courtesy photos Customer Agreements at the Intersection of Data and AI: Managing Risk and Preserving Value
Whether a provider or a consumer of data and AI services, companies must think through intellectual property and related contractual risks—both retrospectively, in terms of legacy customer agreements and prospectively, in terms of reworking them.
March 22, 2024 at 10:00 AM
8 minute read
Companies operating at the intersection of data and artificial intelligence (AI) have enormous potential but also face evolving risks. Big data is not new; data has become a valuable currency for numerous industries—from financial services, real estate and health care to social media and e-commerce.
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Michael G. Bongiorno, Andrew Scott Dulberg and Elizabeth E. Driscoll from Wilmer Cutler Pickering Hale and Dorr have stepped in to represent Symbotic Inc., an A.I.-enabled technology platform that focuses on increasing supply chain efficiency, and other defendants in a pending shareholder derivative lawsuit. The case, filed Oct. 2 in Massachusetts District Court by the Brown Law Firm on behalf of Stephen Austen, accuses certain officers and directors of misleading investors in regard to Symbotic's potential for margin growth by failing to disclose that the company was not equipped to timely deploy its systems or manage expenses through project delays. The case, assigned to U.S. District Judge Nathaniel M. Gorton, is 1:24-cv-12522, Austen v. Cohen et al.
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